Independent Financial Advisor
We have been working for you for over 8 years.
We develop investment products to achieve your financial goals.
We develop investment products to achieve your financial goals.
Founded in 2017
Managed by professionals with global experience
Office in Hong Kong
Invest Smart, Grow Strong
We combine cutting-edge technology, reliable investment standards, and years of experience to support your financial growth
- TechnologiesWe use modern methods of processing and analyzing Big Data to make optimal investment decisions01
- ReliabilityEnglish financial law and high international investment standards02
- ExperienceTotal successful asset management experience for more than 40 years03
About Us
A little about the company
We are a team of experienced professionals in the field of financial services and professionals in the field of modern computing technologies
Our company was founded in 2017
During this time, we have been able to occupy our niche among independent financial advisors and achieve high results that we are proud of.
At SMILE, we focus all our attention on the clients themselves and on the tasks that are set before us.
Each member of the team is dedicated to providing a personalized, professional service and to ensure financial peace of mind and a high return on investment for our clients.
At SMILE, we focus all our attention on the clients themselves and on the tasks that are set before us.
Each member of the team is dedicated to providing a personalized, professional service and to ensure financial peace of mind and a high return on investment for our clients.
Short-Middle Investments for Long-Term Earnings
SMILE
SMILE -
Authorized Investment Advisor of Interactive Brokers LLC
What do we offer
Ability to take advantage of long-term investment
SMILE strategies are proven tools that have proven their effectiveness over more than a five-year period of work in the financial markets
We offer first-class advisory services, reliable relationships and an emphasis on transparency in the management of your assets
Efficient placement of short-term capital
Our strategies
At the service of clients are ready-made strategies developed by our technical and financial specialists and tested over a long time interval and various market phases. We will select for you exactly the strategy that will best suit your risk profile.
The company's flagship strategy.
Allows you to significantly increase potential profitability with a comfortable level of risk.
Allows you to significantly increase potential profitability with a comfortable level of risk.
SMILE Flagship Strategy
Average annual return
12,50%
60,72%
Accumulated return
Sharpe ratio
1,59
Initial Investment growth/
Cash Flow
Cash Flow
Futures
Options
Cash and cash equivalents
Get presentation
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Career at the Company
Join our team — we're looking for talented and ambitious professionals
Location: Remote or Hong Kong
Employment type: Full-time
We are looking for an Algorithmic Trading Data Scientist to join our team and help design, test, and optimize data-driven investment strategies. If you are passionate about quantitative research, financial modeling, and turning data into actionable trading signals — we’d love to hear from you.
What you’ll do:
Employment type: Full-time
We are looking for an Algorithmic Trading Data Scientist to join our team and help design, test, and optimize data-driven investment strategies. If you are passionate about quantitative research, financial modeling, and turning data into actionable trading signals — we’d love to hear from you.
What you’ll do:
- Develop and backtest systematic trading strategies using Python (Pandas, NumPy, Matplotlib, etc.)
- Design analytical algorithms and predictive models to identify patterns in financial markets
- Analyze strategy performance using key metrics
- Automate reporting and create insightful dashboards and charts
- Continuously improve models and strategies using historical and real-time data
- Deploy and monitor strategies in live trading environments
- Create clear, interactive interfaces and visualizations to present results to the team and stakeholders
- Strong Python skills and experience with data science libraries
- Solid understanding of statistics and quantitative finance
- Experience with backtesting frameworks and data pipelines
- Attention to detail and ability to work independently
- Familiarity with version control (Git) and collaborative workflows
- Experience in live trading systems
- Knowledge of machine learning methods
- Familiarity with web development (e.g., dashboards or report generation)
Location: Remote or Hong Kong
Employment type: Full-time
We are seeking a Quantitative Research Analyst to support the development of data-driven investment strategies. This role is ideal for someone who thrives on financial market research, enjoys working with large datasets, and wants to turn insights into real trading signals.
What you’ll do:
Employment type: Full-time
We are seeking a Quantitative Research Analyst to support the development of data-driven investment strategies. This role is ideal for someone who thrives on financial market research, enjoys working with large datasets, and wants to turn insights into real trading signals.
What you’ll do:
- Conduct in-depth research on market behavior, macroeconomic factors, and trading anomalies
- Develop and test hypotheses using historical financial data
- Assist in building statistical models for signal generation and risk management
- Work closely with Data Scientists and Portfolio Managers to improve strategy design
- Prepare research reports and present findings to the investment team
- Strong background in statistics, econometrics, or applied mathematics
- Proficiency in Python, R, or similar languages for data analysis
- Experience working with financial datasets and market data
- Curiosity, analytical thinking, and strong attention to detail
- Knowledge of factor models, portfolio theory, or asset pricing
- Experience working with alternative data (e.g., sentiment, satellite, etc.)
Location: Remote or Hong Kong
Employment type: Full-time
We’re looking for a Software Engineer to help build and maintain the infrastructure behind our algorithmic trading operations. You’ll play a key role in ensuring our strategies run efficiently and reliably in both research and live trading environments.
What you’ll do:
Employment type: Full-time
We’re looking for a Software Engineer to help build and maintain the infrastructure behind our algorithmic trading operations. You’ll play a key role in ensuring our strategies run efficiently and reliably in both research and live trading environments.
What you’ll do:
- Design and implement low-latency data pipelines and backtesting systems
- Develop APIs and internal tools to support research and strategy deployment
- Monitor and improve system performance, reliability, and scalability
- Collaborate with data scientists and traders to integrate models into production
- Maintain security, version control, and robust documentation
- Strong programming skills in Python and/or C++
- Experience working with trading infrastructure, databases, and distributed systems
- Familiarity with Linux environments and DevOps tools
- Problem-solving mindset and the ability to work independently
- Experience with financial data feeds and execution platforms (e.g., FIX, IB API)
- Knowledge of time-series databases and message queues (e.g., Kafka, Redis)
Career at the Company
Join our team — we're looking for talented and ambitious professionals
Location: Remote or Hong Kong
Employment type: Full-time
We are looking for an Algorithmic Trading Data Scientist to join our team and help design, test, and optimize data-driven investment strategies. If you are passionate about quantitative research, financial modeling, and turning data into actionable trading signals — we’d love to hear from you.
What you’ll do:
Employment type: Full-time
We are looking for an Algorithmic Trading Data Scientist to join our team and help design, test, and optimize data-driven investment strategies. If you are passionate about quantitative research, financial modeling, and turning data into actionable trading signals — we’d love to hear from you.
What you’ll do:
- Develop and backtest systematic trading strategies using Python (Pandas, NumPy, Matplotlib, etc.)
- Design analytical algorithms and predictive models to identify patterns in financial markets
- Analyze strategy performance using key metrics
- Automate reporting and create insightful dashboards and charts
- Continuously improve models and strategies using historical and real-time data
- Deploy and monitor strategies in live trading environments
- Create clear, interactive interfaces and visualizations to present results to the team and stakeholders
- Strong Python skills and experience with data science libraries
- Solid understanding of statistics and quantitative finance
- Experience with backtesting frameworks and data pipelines
- Attention to detail and ability to work independently
- Familiarity with version control (Git) and collaborative workflows
- Experience in live trading systems
- Knowledge of machine learning methods
- Familiarity with web development (e.g., dashboards or report generation)
Location: Remote or Hong Kong
Employment type: Full-time
We are seeking a Quantitative Research Analyst to support the development of data-driven investment strategies. This role is ideal for someone who thrives on financial market research, enjoys working with large datasets, and wants to turn insights into real trading signals.
What you’ll do:
Employment type: Full-time
We are seeking a Quantitative Research Analyst to support the development of data-driven investment strategies. This role is ideal for someone who thrives on financial market research, enjoys working with large datasets, and wants to turn insights into real trading signals.
What you’ll do:
- Conduct in-depth research on market behavior, macroeconomic factors, and trading anomalies
- Develop and test hypotheses using historical financial data
- Assist in building statistical models for signal generation and risk management
- Work closely with Data Scientists and Portfolio Managers to improve strategy design
- Prepare research reports and present findings to the investment team
- Strong background in statistics, econometrics, or applied mathematics
- Proficiency in Python, R, or similar languages for data analysis
- Experience working with financial datasets and market data
- Curiosity, analytical thinking, and strong attention to detail
- Knowledge of factor models, portfolio theory, or asset pricing
- Experience working with alternative data (e.g., sentiment, satellite, etc.)
Location: Remote or Hong Kong
Employment type: Full-time
We’re looking for a Software Engineer to help build and maintain the infrastructure behind our algorithmic trading operations. You’ll play a key role in ensuring our strategies run efficiently and reliably in both research and live trading environments.
What you’ll do:
Employment type: Full-time
We’re looking for a Software Engineer to help build and maintain the infrastructure behind our algorithmic trading operations. You’ll play a key role in ensuring our strategies run efficiently and reliably in both research and live trading environments.
What you’ll do:
- Design and implement low-latency data pipelines and backtesting systems
- Develop APIs and internal tools to support research and strategy deployment
- Monitor and improve system performance, reliability, and scalability
- Collaborate with data scientists and traders to integrate models into production
- Maintain security, version control, and robust documentation
- Strong programming skills in Python and/or C++
- Experience working with trading infrastructure, databases, and distributed systems
- Familiarity with Linux environments and DevOps tools
- Problem-solving mindset and the ability to work independently
- Experience with financial data feeds and execution platforms (e.g., FIX, IB API)
- Knowledge of time-series databases and message queues (e.g., Kafka, Redis)
Interested in one of our roles?
Send us your CV in a few clicks.
Send us your CV in a few clicks.
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We will be happy to answer any of your questions
By clicking the "Submit" button, you agree to the Privacy Policy.
Contacts
© SMILE CONSULTING Ltd. All rights reserved.
7/F, MW Tower, 111 Bonham Strand, Sheung Wan, Hong Kong
7/F, MW Tower, 111 Bonham Strand, Sheung Wan, Hong Kong
Registration information available upon request